vas5<-structure(list(patient = structure(c(1L, 2L, 3L, 4L, 5L, 6L, 
7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 
20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 33L, 
34L, 35L, 36L, 37L, 38L, 39L, 40L, 41L, 42L, 43L, 44L, 45L, 46L, 
47L, 48L, 49L, 50L, 51L, 52L, 53L, 54L, 55L, 56L, 57L, 58L, 59L, 
60L, 61L, 63L, 64L, 65L, 66L, 67L, 68L, 69L, 70L, 71L, 72L, 73L, 
74L, 75L, 76L, 77L, 78L, 79L, 80L, 81L, 82L, 83L, 84L, 85L, 86L, 
87L, 88L, 89L, 90L, 91L, 92L, 93L, 94L, 95L, 96L, 97L, 98L, 99L, 
100L, 101L, 102L, 103L, 104L, 105L, 106L, 107L, 108L, 109L, 110L, 
111L, 112L, 113L, 114L, 115L, 116L, 117L, 118L, 120L, 121L, 122L, 
123L, 124L, 125L, 126L, 127L, 128L, 129L, 130L, 131L, 132L, 133L, 
134L, 135L, 136L, 137L, 138L, 139L, 140L, 141L, 142L, 143L, 144L, 
145L, 146L, 147L, 148L, 149L, 150L, 151L, 152L, 153L, 154L, 155L, 
156L, 157L, 158L, 159L, 160L, 161L, 162L, 163L, 164L, 165L, 166L, 
277L, 278L, 279L, 280L, 281L, 282L, 283L, 284L, 285L, 286L, 287L, 
288L, 289L, 290L, 291L, 292L, 293L, 294L, 295L, 296L, 297L, 298L, 
299L, 300L, 301L, 302L, 303L, 304L, 305L, 306L, 307L, 308L, 309L, 
310L, 311L, 312L, 313L, 167L, 168L, 169L, 170L, 171L, 172L, 173L, 
174L, 175L, 176L, 177L, 178L, 179L, 180L, 181L, 182L, 183L, 184L, 
185L, 186L, 187L, 188L, 189L, 190L, 191L, 192L, 193L, 194L, 195L, 
196L, 197L, 198L, 199L, 200L, 201L, 202L, 203L, 204L, 205L, 206L, 
207L, 208L, 209L, 210L, 211L, 212L, 213L, 214L, 215L, 216L, 217L, 
218L, 219L, 220L, 221L, 222L, 223L, 224L, 225L, 226L, 227L, 228L, 
229L, 230L, 231L, 232L, 233L, 234L, 235L, 236L, 237L, 238L, 239L, 
240L, 241L, 242L, 243L, 244L, 245L, 246L, 247L, 248L, 249L, 250L, 
251L, 252L, 253L, 254L, 255L, 256L, 257L, 258L, 259L, 260L, 261L, 
262L, 263L, 264L, 265L, 266L, 267L, 268L, 269L, 270L, 271L, 272L, 
273L, 274L, 275L, 276L, 314L, 315L, 316L, 317L, 318L, 319L, 320L, 
321L, 322L, 323L, 324L, 325L, 326L, 327L, 328L, 329L, 330L, 331L, 
332L, 333L, 334L, 335L, 336L, 337L, 338L, 339L, 340L, 342L, 343L, 
344L, 345L, 346L, 347L, 348L, 349L, 350L, 351L, 352L, 353L, 354L, 
355L, 356L, 357L, 358L, 359L, 360L, 361L, 362L, 363L, 364L, 365L, 
366L, 367L, 368L), .Label = c("1", "2", "7", "9", "12", "14", 
"16", "17", "18", "20", "22", "31", "32", "35", "37", "38", "39", 
"40", "42", "43", "45", "47", "48", "50", "52", "55", "56", "57", 
"58", "60", "61", "62", "63", "64", "66", "68", "70", "71", "72", 
"73", "74", "76", "78", "79", "82", "83", "85", "87", "90", "91", 
"93", "98", "99", "100", "101", "102", "103", "106", "108", "109", 
"111", "112", "113", "115", "116", "117", "118", "119", "120", 
"121", "122", "123", "124", "125", "126", "127", "130", "131", 
"132", "133", "135", "137", "138", "139", "140", "141", "143", 
"144", "146", "147", "148", "149", "150", "152", "153", "154", 
"155", "159", "160", "161", "162", "165", "166", "167", "168", 
"169", "170", "173", "174", "175", "176", "177", "180", "181", 
"182", "184", "185", "188", "189", "190", "191", "192", "194", 
"196", "197", "198", "199", "200", "201", "202", "203", "204", 
"205", "206", "207", "208", "209", "210", "211", "214", "215", 
"216", "217", "218", "219", "220", "221", "223", "224", "226", 
"227", "228", "229", "231", "233", "235", "236", "237", "238", 
"241", "243", "244", "245", "246", "247", "250", "251", "254", 
"255", "257", "258", "259", "260", "262", "263", "264", "265", 
"266", "269", "271", "272", "273", "274", "275", "276", "277", 
"278", "279", "280", "281", "282", "283", "284", "285", "286", 
"287", "288", "289", "291", "292", "293", "294", "295", "296", 
"298", "299", "300", "303", "304", "306", "307", "309", "310", 
"311", "312", "314", "315", "316", "317", "318", "319", "321", 
"322", "323", "324", "329", "331", "332", "334", "336", "337", 
"338", "339", "340", "341", "342", "343", "344", "347", "348", 
"349", "351", "352", "353", "354", "355", "357", "358", "359", 
"362", "363", "364", "365", "368", "369", "370", "372", "373", 
"375", "376", "378", "379", "380", "381", "382", "383", "384", 
"386", "387", "390", "392", "393", "394", "397", "399", "400", 
"401", "404", "405", "406", "407", "412", "414", "415", "416", 
"417", "418", "419", "421", "422", "425", "426", "429", "430", 
"431", "433", "435", "436", "437", "438", "439", "441", "442", 
"446", "448", "450", "454", "457", "458", "459", "462", "463", 
"465", "476", "477", "478", "480", "481", "483", "484", "485", 
"486", "488", "491", "494", "495", "496", "497", "499", "502", 
"503", "504", "505", "506", "507", "508", "509", "510", "511", 
"512", "513", "514", "515", "516", "518", "519", "520", "521", 
"522", "523", "526", "527", "529", "530", "531", "532", "539", 
"540", "541", "542", "543", "544", "545", "546", "548", "549", 
"550", "551"), class = "factor"), treat = structure(c(5L, 2L, 
1L, 7L, 7L, 5L, 6L, 1L, 3L, 6L, 6L, 4L, 1L, 2L, 3L, 7L, 4L, 6L, 
1L, 2L, 3L, 7L, 7L, 4L, 1L, 5L, 2L, 5L, 2L, 5L, 3L, 4L, 7L, 5L, 
4L, 7L, 6L, 1L, 7L, 2L, 2L, 2L, 2L, 6L, 4L, 3L, 4L, 5L, 3L, 3L, 
6L, 4L, 7L, 1L, 3L, 5L, 1L, 5L, 4L, 1L, 4L, 6L, 1L, 2L, 5L, 6L, 
1L, 5L, 7L, 7L, 6L, 3L, 3L, 6L, 7L, 3L, 3L, 7L, 4L, 2L, 6L, 6L, 
5L, 1L, 6L, 1L, 7L, 3L, 2L, 7L, 5L, 6L, 4L, 5L, 4L, 7L, 5L, 4L, 
2L, 7L, 3L, 3L, 6L, 5L, 2L, 1L, 1L, 2L, 4L, 1L, 6L, 1L, 5L, 4L, 
5L, 2L, 2L, 6L, 5L, 2L, 6L, 3L, 3L, 4L, 3L, 5L, 2L, 7L, 3L, 1L, 
5L, 6L, 1L, 7L, 3L, 4L, 2L, 3L, 1L, 4L, 5L, 3L, 3L, 7L, 4L, 1L, 
7L, 2L, 5L, 4L, 2L, 6L, 4L, 1L, 6L, 4L, 6L, 1L, 7L, 6L, 7L, 2L, 
7L, 4L, 1L, 2L, 1L, 4L, 7L, 2L, 6L, 2L, 1L, 5L, 7L, 5L, 5L, 1L, 
3L, 2L, 2L, 6L, 4L, 7L, 5L, 3L, 6L, 7L, 2L, 3L, 3L, 4L, 5L, 5L, 
1L, 4L, 6L, 2L, 3L, 1L, 4L, 4L, 6L, 1L, 3L, 7L, 2L, 1L, 1L, 3L, 
3L, 3L, 2L, 5L, 4L, 3L, 5L, 5L, 6L, 5L, 7L, 7L, 2L, 7L, 7L, 5L, 
6L, 4L, 2L, 4L, 1L, 7L, 2L, 6L, 6L, 6L, 1L, 3L, 1L, 5L, 2L, 5L, 
6L, 1L, 3L, 4L, 1L, 4L, 2L, 3L, 4L, 5L, 6L, 2L, 5L, 6L, 3L, 7L, 
5L, 7L, 2L, 7L, 7L, 1L, 4L, 4L, 4L, 6L, 1L, 3L, 5L, 7L, 5L, 4L, 
7L, 3L, 2L, 6L, 3L, 1L, 2L, 5L, 1L, 6L, 3L, 2L, 2L, 4L, 6L, 2L, 
4L, 3L, 7L, 5L, 1L, 3L, 1L, 6L, 5L, 1L, 7L, 4L, 6L, 6L, 6L, 2L, 
6L, 2L, 5L, 7L, 3L, 5L, 4L, 1L, 1L, 4L, 7L, 2L, 1L, 3L, 2L, 4L, 
2L, 7L, 6L, 7L, 4L, 4L, 1L, 2L, 3L, 3L, 5L, 3L, 7L, 5L, 7L, 5L, 
7L, 1L, 3L, 2L, 7L, 6L, 6L, 6L, 3L, 4L, 5L, 1L, 2L, 1L, 5L, 3L, 
5L, 2L, 6L, 7L, 4L, 7L, 5L, 1L, 6L, 2L), .Label = c("1", "2", 
"3", "4", "5", "6", "7"), class = "factor"), vas = c(76, 35, 
90, 0, 12, 43, 67, 66, 52, 29, 0, 50, 68, 90, 69, 0, 54, 54, 
16, 62, 44, 28, 27, 48, 77, 97, 69, 96, 62, 4, 10, 65, 12, 89, 
4, 28, 51, 63, 6, 37, 73, 54, 83, 67, 38, 41, 41, 85, 25, 78, 
93, 86, 3, 49, 27, 64, 78, 35, 31, 53, 67, 4, 89, 15, 73, 78, 
67, 0, 20, 6, 68, 33, 43, 13, 0, 37, 45, 35, 77, 90, 18, 11, 
77, 18, 18, 100, 62, 23, 32, 0, 0, 58, 93, 14, 27, 18, 64, 62, 
56, 9, 40, 93, 51, 38, 75, 100, 85, 100, 74, 95, 35, 26, 12, 
81, 0, 16, 74, 14, 47, 96, 18, 0, 58, 79, 36, 0, 76, 33, 0, 86, 
21, 92, 100, 31, 5, 5, 75, 62, 71, 31, 20, 28, 35, 42, 0, 48, 
52, 65, 67, 19, 29, 58, 5, 90, 68, 0, 48, 31, 0, 32, 17, 69, 
2, 62, 95, 28, 81, 26, 11, 100, 43, 85, 32, 49, 54, 95, 22, 69, 
79, 88, 31, 54, 74, 0, 69, 45, 9, 67, 18, 48, 49, 63, 52, 43, 
93, 18, 93, 66, 59, 54, 78, 75, 95, 55, 98, 12, 6, 84, 38, 15, 
5, 32, 78, 0, 55, 60, 26, 51, 89, 5, 26, 9, 45, 9, 51, 80, 27, 
65, 87, 0, 35, 4, 23, 30, 32, 40, 39, 0, 80, 68, 67, 55, 0, 25, 
88, 25, 70, 0, 53, 79, 0, 3, 33, 0, 14, 38, 27, 17, 34, 0, 76, 
0, 67, 76, 6, 35, 73, 15, 95, 46, 39, 0, 0, 42, 32, 70, 0, 0, 
71, 43, 29, 53, 66, 63, 18, 96, 27, 0, 41, 62, 58, 46, 0, 0, 
96, 57, 43, 50, 92, 42, 0, 73, 100, 27, 0, 65, 45, 96, 22, 81, 
83, 42, 42, 83, 90, 0, 10, 57, 79, 30, 82, 92, 46, 65, 79, 21, 
10, 36, 89, 72, 75, 35, 69, 75, 33, 29, 36, 83, 5, 59, 10, 76, 
30, 13, 20, 88, 53, 56, 65, 57, 63, 74, 91, 0, 0, 65, 38, 76, 
41, 46, 82, 97, 0, 77)), .Names = c("patient", "treat", "vas"
), class = "data.frame", row.names = c("7", "29", "49", "71", 
"93", "114", "135", "155", "176", "198", "219", "240", "260", 
"280", "301", "322", "343", "365", "386", "408", "429", "451", 
"473", "494", "515", "536", "557", "577", "597", "618", "639", 
"664", "685", "705", "726", "747", "768", "789", "811", "832", 
"853", "875", "895", "915", "937", "959", "981", "1001", "1022", 
"1042", "1062", "1084", "1106", "1126", "1148", "1170", "1190", 
"1211", "1232", "1253", "1294", "1316", "1336", "1357", "1378", 
"1398", "1418", "1440", "1462", "1484", "1504", "1526", "1547", 
"1568", "1590", "1611", "1632", "1654", "1675", "1696", "1717", 
"1738", "1758", "1779", "1800", "1820", "1841", "1862", "1883", 
"1904", "1925", "1946", "1966", "1988", "2009", "2031", "2052", 
"2073", "2094", "2116", "2137", "2159", "2181", "2202", "2222", 
"2242", "2263", "2283", "2304", "2323", "2344", "2366", "2387", 
"2408", "2430", "2451", "2477", "2498", "2519", "2539", "2560", 
"2581", "2602", "2622", "2643", "2664", "2685", "2707", "2728", 
"2747", "2768", "2788", "2808", "2829", "2850", "2871", "2892", 
"2913", "2933", "2954", "2975", "2996", "3017", "3039", "3060", 
"3080", "3101", "3122", "3144", "3166", "3187", "3209", "3230", 
"3250", "3270", "3291", "3312", "3334", "3355", "3376", "3397", 
"3417", "3438", "3458", "3479", "3501", "3522", "3542", "3564", 
"3584", "3605", "3625", "3647", "3668", "3690", "3710", "3731", 
"3751", "3772", "3793", "3815", "3836", "3857", "3879", "3900", 
"3921", "3942", "3963", "3984", "4006", "4027", "4048", "4070", 
"4091", "4112", "4134", "4155", "4176", "4197", "4218", "4239", 
"4260", "4280", "4301", "4321", "4342", "4364", "4384", "4406", 
"4427", "4448", "4469", "4489", "4511", "4532", "4553", "4575", 
"4598", "4618", "4639", "4661", "4683", "4704", "4726", "4747", 
"4768", "4789", "4810", "4831", "4852", "4873", "4894", "4915", 
"4936", "4958", "4979", "5000", "5022", "5043", "5064", "5085", 
"5106", "5127", "5149", "5170", "5191", "5211", "5232", "5254", 
"5275", "5296", "5317", "5338", "5359", "5380", "5401", "5422", 
"5444", "5465", "5487", "5508", "5530", "5552", "5572", "5593", 
"5614", "5635", "5656", "5676", "5697", "5719", "5741", "5762", 
"5783", "5804", "5826", "5847", "5868", "5889", "5911", "5932", 
"5953", "5974", "5995", "6017", "6037", "6059", "6080", "6102", 
"6123", "6144", "6165", "6186", "6207", "6227", "6249", "6270", 
"6291", "6312", "6334", "6355", "6376", "6396", "6417", "6438", 
"6458", "6479", "6499", "6520", "6540", "6560", "6582", "6603", 
"6623", "6643", "6664", "6686", "6707", "6728", "6750", "6772", 
"6792", "6813", "6834", "6856", "6877", "6898", "6920", "6941", 
"6962", "6982", "7004", "7024", "7045", "7066", "7087", "7109", 
"7152", "7173", "7195", "7217", "7238", "7259", "7280", "7301", 
"7321", "7343", "7364", "7385", "7406", "7427", "7448", "7468", 
"7489", "7510", "7531", "7552", "7573", "7594", "7615", "7636", 
"7656", "7677", "7698"))
